Fused UAV data improve winter wheat biomass estimates in two-season field study
A two-season Chinese field study found that fused UAV spectral, texture, LiDAR and temporal features with random forest produced the ...
A two-season Chinese field study found that fused UAV spectral, texture, LiDAR and temporal features with random forest produced the ...
Laboratory hyperspectral data combined with environmental and satellite covariates improved machine-learning estimates of topsoil organic carbon across Northeast China’s croplands.
A residential-network study found that wastewater bacterial DNA, ecological modeling and machine learning improved screening for severely corroded sewer pipes.
A species-distribution model projects a 42.5% contraction in the climatically suitable range of Liolaemus nigroviridis by 2080 under RCP 8.5, ...
A two-stage distribution model found that prey availability strongly constrained predicted Sumatran tiger habitat in Indonesia’s Gunung Leuser National Park, ...
Researchers combined ear tag, feeder, pedometer, and environmental data with random forest models to detect bovine respiratory disease in pre-weaned ...
A machine learning analysis of 556 middle school students found that sleep duration was the strongest predictor of mathematics anxiety, ...
Researchers developed a two-stage random forest framework that classifies faults in Sallen–Key and Chebyshev analog filter circuits with about 98.5% ...
A team of Ethiopian researchers tested four machine learning models against 770 mapped landslides in the Main Ethiopian Rift, finding ...
A new species of eight-barbel loach, Lefua nishimurai, has been described from the Kuzuryu River system in Fukui Prefecture, Japan, ...
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© 2025 Scienmag - Science Magazine